Data Scientist

SYSO Technologies; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

SYSO Technologies seeks a data science professional to build price forecasts, peak load models, and market strategies across ISO markets. You will work with large energy datasets and develop production-grade code to deploy predictive models.

The role emphasizes collaboration with Engineering, Operations, and Energy Markets teams, delivering data-driven insights for business growth and energy optimization.

Qualifications

• BA/BS in Data Science, CS or related technical field.
• Relevant professional experience from early-career to senior levels.
• Strong analytical and coding skills with Python or equivalent tools.
• Ability to collaborate across the company and adapt to varied roles.

Responsibilities

• Build price forecasts and peak load models using statistical and ML methods.
• Work with large datasets (price, generation, load, weather) across multiple ISO markets.
• Design and implement dispatch and optimization algorithms for battery energy storage systems.
• Develop production-ready code to deploy models and workflows.
• Create data visualizations and dashboards to summarize outputs and market trends.
• Collaborate with Engineering, Operations, and Energy Markets teams to integrate data insights.
• Conduct ad-hoc analyses to support business development and market strategies.

Skills

Python

Analytical skills

Collaboration

Education

Bachelor's degree in Data Science or CS

Master's or PhD in Data Science or related field

Tools

Databricks

Kubeflow

Metaflow

Job description

• Build price forecasts and peak load models using statistical and machine learning methods.
• Work with large datasets (price, generation, load, weather) across multiple ISO/RTO markets.
• Design and implement dispatch and optimization algorithms and market offer strategies for battery energy storage systems (BESS) to maximize economic performance while considering asset specifications, market constraints, and regulatory rules.
• Develop simulation environments to test the efficacy of various market participation strategies.
• Deploy and validate predictive models and workflows in production-grade code.
• Develop data visualizations and dashboards to summarize model outputs and market trends.
• Advise on the Company’s needs for developing new data science and analytical capabilities.
• Establish key performance metrics related to asset optimization.
• Collaborate closely with SYSO teams including Engineering, Operations, and Energy Markets teams to integrate data insights with real-time operations and market strategies.
• Conduct ad-hoc analyses to support business development and market strategies decisions.

Required Qualifications/Skills/Education:

• BA/BS in Data Science, Computer Science, or an equivalent technical or mathematical field.
• Relevant professional experience – candidates ranging from early-career to senior will be considered.
• Strong analytical and coding skills with proficiency in Python or other analytical tools.
• Ability to collaborate effectively and thrive working in a variety of capacities across the company.
• Strong problem-solving and organizational skills.

Desired Qualifications/Skills/Education:

• Masters or PhD in Data Science, CS, or an equivalent technical or mathematical field.
• Familiarity with cloud computing ecosystems such as AWS, and data science frameworks such as Metaflow, Databricks or Kubeflow.
• Experience with statistical analysis and data visualizations using R.
• Experience formulating and solving mixed-integer linear programming (MILP) optimizations.
• Direct experience working in the energy industry.
• Demonstrated understanding of wholesale power market mechanics.
• Familiarity with renewable energy or battery storage development and operations.